Suitability Analysis as a Recommendation System for Housing Search

Jaskaran Puri, Pedro Cabral

2022

Abstract

The metropolitan cities are facing a huge skewness of service distribution that is given in different parts of the same city. Given the rapid increase in immigration, the quality-of-life factors are often left out while performing housing searches. This paper explores the ideal sub-regions in Delhi, India, for living based on different lifestyle profiles. Using suitability analysis, it is possible to personalize a geographical area for housing. Five such factors, namely, rental budget, commute time, green landscape, pollution, and food accessibility were considered. Four different user profiles (18-65) and their importance to each of the factors were simulated. The range of each variable was standardized using transformations. Data was obtained from data-hubs like Kaggle, OSM, and GEE. The analysis was supported by ArcGIS Pro to get district-level features and suitability modelling. The commute variable is a derived variable from the cost surface raster and AQI values from the weather stations were used. Four different suitability maps are generated using multi-criteria evaluation. This automated approach can be useful for customers and agents to find or consult housing for immigrants by making it personalized and providing insights to better explain consumer behaviour based on spatial attributes, hence making spatially intelligent tools.

Paper Citation

in Harvard Style

Puri J. and Cabral P. (2022). Suitability Analysis as a Recommendation System for Housing Search. In Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-571-5, pages 91-98. DOI: 10.5220/0011014700003185

in Bibtex Style

@conference{gistam22,
author={Jaskaran Puri and Pedro Cabral},
title={Suitability Analysis as a Recommendation System for Housing Search},
booktitle={Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2022},
pages={91-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011014700003185},
isbn={978-989-758-571-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Suitability Analysis as a Recommendation System for Housing Search
SN - 978-989-758-571-5
AU - Puri J.
AU - Cabral P.
PY - 2022
SP - 91
EP - 98
DO - 10.5220/0011014700003185